Research Methods Flashcards

1
Q

What are the 3 types of hypothesis?

A
  • directional (one -tailed) = says direction of results, eg. participants in A will have higher scores than B
  • non-directional (two-tailed) = ‘ there will be a difference in participants A and B scores’
  • null hypothesis = ‘ there will be no significant difference’
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2
Q

what are strength vs weakness of independent groups design?

A

different participant take part in each experimental condition + randomly allocated
- strength :
1. p’s less likely to show demand characteristics as they only take part in 1 exp condition
2. no order effects such as practice or fatigue because participants take part in one condition
- weakness :
1. individual differences may affect results
2. More participants are needed compared to repeated measures.

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3
Q

What are strength’s + weaknesses of matched pairs design ?

A
  • p’s are matched on key variables, all participants should be pre-tested for variable + one person from each pair is randomly allocated to each condition.
  • Strengths:
    1. no order effects + less demand characteristics as participants only take in 1 exp condition
    2. Reduces participant variables (individual differences )
  • Weaknesses:
    1. time consuming + difficult to match P’s on key variables
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4
Q

What are strength + weaknesses of repeated measures design ?

A
  • P’s take part in both experimental conditions
  • Strength :
    1. no individual differences as the same participant is used.
    2. requires 1/2 no of p’s of IGD to have same amount of data
  • Weakness:
    1. order effects = practice ( do better) + fatigue ( do worse) - counterbalance using ABBA effect
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5
Q

What are strengths + weaknesses of random sampling ?

A

obtained by lottery method or allocating numbers to each p and use random number generator
- strength = all members of a target population have an equal chance to be chosen
- weakness = takes time to number p’s etc + no guarantee the sample will be representative as some subgroups could be missed

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6
Q

What are strengths + weaknesses of systematic sampling ?

A

every nth person from a given population is chosen
Strength = unbiased as p’s are selected through an objective system
Weakness =

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7
Q

What are strengths + weaknesses of Stratified sampling ?

A
  • divide a population into smaller subgroups (strata) based on shared characteristics of the members and then randomly select among these groups to form the final sample.

Strength = more representative than other methods
Weakness = takes a lot of time + money = some subgroups may still be missed

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8
Q

What are strengths + weakness of Opportunity sampling ?

A
  • studying whoever’s available at the time
    strength = quick, easy ,cheap
    weakness = unlikely to be representative
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9
Q

what are strengths + weaknesses of volunteer sampling ?

A

strength = p’s are willing to take part + large no can be obtained
weakness = personality characteristics may cause bias

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10
Q

What are strengths + weakness of lab experiments ?

A

strengths:
1. high level of control over IV and any extraneous variables so we can determine the cause + effect
2. high replicability due to use of standardised procedure

weakness :
1. artificial so lacks ecological validity + generalisability
2. risk of demand characteristics

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11
Q

What are strengths + weaknesses of field experiments ?

A

strength :
1. higher ecological validity because it takes place in a natural setting
2. less risk of demand characteristics if ppl are unaware of the research taking place

weakness:
1. difficult to replicate
2. less control of extraneous variables
3. ethical issues of consent

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12
Q

What are strengths + weaknesses of a natural experiments ?

A

strengths:
1. greater ecological validity since change in IV + setting is natural

weakness:
1. cannot demonstrate cause + effect relationship since IV is not directly manipulated
2. lack of control of extraneous variables

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13
Q

What are the 6 types of observations ?

A
  1. Naturalistic = behaviour studied in a natural environment where nothing is changed
  2. Controlled = some variables are controlled by the researcher eg. Strange Situation
  3. Covert= P’s DO NOT know they’re being observed i.e.. using a one way mirror
  4. Overt = P’s are aware that they’re being watched + have given consent
  5. Participant = researcher takes part in experiment
  6. Non- participant = researcher watches participants and does not take part.
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14
Q

Describe what a structured / unstructured interview is + give strengths + weaknesses

A

structured = q’s are pre- determined + delivered face to face or over phone

strengths:
1. easy to repeat
2. less chance of interviewer bias
weakness:
1. interviewers can’t deviate from q’s which reduced richness of the data

Unstructured = no predetermined q’s + but new q’s developed during interview and follows a general aim

Strengths:
1. more detailed + richer data than structured

Weakness:
1. may be interviewer bias

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15
Q

Describe what a closed / open questionnaire is + give strengths/ weaknesses

A

closed = fixed yes / no responses = Quantitative data
strengths: easier to analyse quantitative data rather than qualitative
Weakness: less detailed answers + social desirability bias

open= no fixed answers = Qualitative data
strengths: richer, in-depth answers
weakness : takes time + difficult to analyse + social desirability bias

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16
Q

What is content analysis ? (2)

A
  • a form of indirect observation
  • where you analyse artefacts and place them into categories + count to obtain quantitative data
17
Q

What is reliability ? (1)

A
  • reliability is consistency
18
Q

How can you assess reliability of self-report techniques ?

A
  • use test-retest method : give same p’s the same test/questionnaire after an interval of at least 2 weeks to prevent them from remembering answers + correlate the 2 sets of data and if it is greater than 0.8 it has good reliability.
  • for interviewers = use 2 interviewers = inter-interviewer reliability if correlation greater than 0.8 = good reliability
19
Q

How can you assess reliability of observational techniques?

A
  • inter-observer reliability = 2 observers ( 1 independent) make separate recordings and compare + correlate, if correlation co-efficient is greater than 0.8, it is considered to have good inter-observer reliability.
20
Q

What is meant by the term ‘validity’ ?

A
  • the extent to which a test measures what it set out to measure
21
Q

How can validity be assessed ?

A
  1. face validity = does the test appear to measure what its supposed to at first glance
  2. concurrent validity = compare results with previously established test, a correlation of greater than 0.8 means it has good validity.